Daniel is a Postdoctoral researcher at the University of Pennsylvania. His research is situated at the intersection of Natural Language Processing, Machine Learning and Social Science. His current interests include spatial and temporal learning models for text, user attribute prediction from text and Gaussian Processes, using large user-generated data coming from Social Media. Prior to joining UPenn, Daniel completed his PhD in Natural Language Processing and Machine Learning at the University of Sheffield, UK and was a researcher on the Trendminer EU FP7 project.
